#Probability and expected return

5 messages · Page 1 of 1 (latest)

warm marlin
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Imagine a slot machine that costs 10 $ for every spin.
There are 2 possible outcomes. Either you get 100 $, or you get nothing.
The chance of getting 100 $ is dependent on a pity system.
The pity system gives 293 Pity Score every time you dont spin 100 $. If your Pity Score is >=5000, you are guaranteed to get 100$. After doing so, 5000 pity score will be subtracted from the current Pity Score.

The dependency is as such:

Chance of getting 100 $ = (ln(Pity Score + 4000))/(100)

What is the expected return for every spin?
My approach. I dont intuitively see a solution .-.
First, I've tried to figure out how many losses are required for the Pity Score to get back to 0 again. (LCM of 293 and 5000 is 1465000).
This is way too many calculations to map out.

Next, I've tried to derive a formula for getting 100 $, but incorporating the pity score. This I have done successfully.
But im not sure if this is the right approach, since i would need to figure out excactly the association between Pity Score and Number of spins, which i dont think there is a straight forward one?
frozen fossilBOT
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  1. Wait patiently for a helper to come along.
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warm marlin
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Figured out how to approach it.

#

+close